Automotive radar selection and placement

Abstract

Systems and methods are provided for monitoring and detecting unauthorized access to a vehicle. The systems and methods may receive surveillance data of the vehicle using a sensor. The systems and methods may detect, from the surveillance data, an intrusion to the vehicle by an entity. The systems and methods may transition the sensor out of a minimal power state upon detecting the intrusion to the vehicle. The systems and methods may perform a scan of the vehicle to obtain information indicating a type of the intrusion using the sensor. The systems and methods may determine, from the scan, the type of the intrusion to the vehicle is a threat intrusion by determining the entity causing the intrusion is unauthorized and the entity is performing an unauthorized action. The systems and methods may perform a safety action to interfere with the threat intrusion.

What is claimed is: 
     
         1 . A method for monitoring and detecting unauthorized access to a vehicle, the method comprising:
 receiving, by a sensor, surveillance data of the vehicle;   detecting, from the surveillance data, an intrusion to the vehicle by an entity;   transitioning the sensor out of a minimal power state upon detecting the intrusion to the vehicle;   performing, using the sensor, a scan of the vehicle to obtain information indicating a type of the intrusion;   determining, from the scan, the type of the intrusion to the vehicle is a threat intrusion; and   performing a safety action to interfere with the threat intrusion.   
     
     
         2 . The method of  claim 1 , wherein the sensor is to be located on an apparatus for monitoring and detecting unauthorized access to the vehicle. 
     
     
         3 . The method of  claim 2 , wherein the apparatus is to be located on a vertical surface of the vehicle. 
     
     
         4 . The method of  claim 1 , wherein the sensor comprises at least one of radar sensor, camera, image sensor, light detection and ranging (LiDAR) sensor, position sensor, audio sensor, infrared sensor, microwave sensor, optical sensor, haptic sensor, magnetometer, communication system and global positioning system (GPS). 
     
     
         5 . The method of  claim 1 , wherein the detecting the intrusion to the vehicle by the entity comprises determining, from the surveillance data, the entity is within a distance threshold from the vehicle. 
     
     
         6 . The method of  claim 1 , wherein the determining the type of the intrusion is a threat intrusion comprises:
 identifying, from the scan, the entity causing the intrusion to the vehicle;   determining the entity is unauthorized based on the entity identification; and   determining the entity is performing an unauthorized action to the vehicle.   
     
     
         7 . The method of  claim 6 , wherein the determining the entity is unauthorized comprises:
 analyzing the entity identification using Machine Learning (ML) algorithms; and   determining the entity identification does not match the identity of an authorized entity to access the vehicle.   
     
     
         8 . The method of  claim 6 , wherein the unauthorized action comprises at least one of entering the vehicle, climbing on the vehicle, damaging the vehicle, removing items from the vehicle, and placing items into the vehicle. 
     
     
         9 . The method of  claim 1 , wherein the safety action comprises at least one of recording the intrusion, sounding an alarm, flashing lights, playing sounds, sending an alert, and shining projections. 
     
     
         10 . An apparatus for monitoring and detecting unauthorized access to a vehicle, the apparatus comprising:
 a sensor configured to:
 receive surveillance data of the vehicle; and 
 perform a scan of the vehicle to obtain information indicating a type of an intrusion; 
   a processor configured to:
 detect, from the surveillance data, the intrusion to the vehicle by an entity; 
 transition the sensor out of a minimal power state upon detecting the intrusion to the vehicle; and 
 determine, from the scan, the type of the intrusion to the vehicle is a threat intrusion; and 
   a controller configured to:
 perform a safety action to interfere with the threat intrusion. 
   
     
     
         11 . The apparatus of  claim 10 , wherein the apparatus is to be located on a vertical surface of the vehicle. 
     
     
         12 . The apparatus of  claim 10 , wherein the sensor comprises at least one of a radar sensor, camera, image sensor, light detection and ranging (LiDAR) sensor, position sensor, audio sensor, infrared sensor, microwave sensor, optical sensor, haptic sensor, magnetometer, communication system and global positioning system (GPS). 
     
     
         13 . The apparatus of  claim 10 , wherein the determine the type of the intrusion is a threat intrusion comprises:
 identifying, from the scan, the entity causing the intrusion to the vehicle;   determining the entity is unauthorized based on the entity identification; and   determining the entity is performing an unauthorized action to the vehicle.   
     
     
         14 . The apparatus of  claim 13 , the determining the entity is unauthorized comprises:
 analyzing the entity identification using Machine Learning (ML) algorithms; and   determining the entity identification does not match the identity of an authorized entity to access the vehicle.   
     
     
         15 . The apparatus of  claim 13 , wherein the unauthorized action comprises at least one of entering the vehicle, climbing on the vehicle, damaging the vehicle, removing items from the vehicle, and placing items into the vehicle. 
     
     
         16 . The apparatus of  claim 10 , wherein the safety action comprises at least one of recording the intrusion, sounding an alarm, flashing lights, playing sounds, sending an alert, and shining projections. 
     
     
         17 . A system for monitoring and detecting unauthorized access to a vehicle, the system comprising:
 one or more processors; and   memory coupled to the one or more processors to store instructions, which when executed by the one or more processors, cause the one or more processors to perform operations, the operations comprising:
 receiving, by a sensor, surveillance data of the vehicle; 
 detecting, from the surveillance data, an intrusion to the vehicle by an entity; 
 transitioning the sensor out of a minimal power state upon detecting the intrusion to the vehicle; 
 performing, using the sensor, a scan of the vehicle to obtain information indicating a type of the intrusion; 
 determining, from the scan, the type of the intrusion to the vehicle is a threat intrusion; and 
 performing a safety action to interfere with the threat intrusion. 
   
     
     
         18 . The system of  claim 17 , wherein the determining the type of the intrusion is a threat intrusion comprises:
 identifying, from the scan, the entity causing the intrusion to the vehicle;   determining the entity is unauthorized based on the entity identification; and   determining the entity is performing an unauthorized action to the vehicle.   
     
     
         19 . The system of  claim 18 , wherein the determining the entity is unauthorized comprises:
 analyzing the entity identification using Machine Learning (ML) algorithms; and   determining the entity identification does not match the identity of an authorized entity to access the vehicle.   
     
     
         20 . The system of  claim 18 , wherein the unauthorized action comprises at least one of entering the vehicle, climbing on the vehicle, damaging the vehicle, removing items from the vehicle, and placing items into the vehicle.